Zitao Chen

Orcid: 0000-0002-6756-8675

Affiliations:
  • University of British Columbia, Vancouver, BC, Canada


According to our database1, Zitao Chen authored at least 14 papers between 2018 and 2024.

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Bibliography

2024
Catch Me if You Can: Detecting Unauthorized Data Use in Deep Learning Models.
CoRR, 2024

A Method to Facilitate Membership Inference Attacks in Deep Learning Models.
CoRR, 2024

Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Catch Me if You Can: Detecting Unauthorized Data Use in Training Deep Learning Models.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
Fault Injection for TensorFlow Applications.
IEEE Trans. Dependable Secur. Comput., 2023

Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2021
Turning Your Strength against You: Detecting and Mitigating Robust and Universal Adversarial Patch Attack.
CoRR, 2021

PID-Piper: Recovering Robotic Vehicles from Physical Attacks.
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction.
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

2020
Ranger: Boosting Error Resilience of Deep Neural Networks through Range Restriction.
CoRR, 2020

TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

Error Resilient Machine Learning for Safety-Critical Systems: Position Paper.
Proceedings of the 26th IEEE International Symposium on On-Line Testing and Robust System Design, 2020

2019
<i>BinFI</i>: an efficient fault injector for safety-critical machine learning systems.
Proceedings of the International Conference for High Performance Computing, 2019

2018
LiReK: A lightweight and real-time key establishment scheme for wearable embedded devices by gestures or motions.
Future Gener. Comput. Syst., 2018


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